Comparative genomics of Steinernema reveals deeply conserved gene regulatory networks
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ABSTRACT:
PROVIDER: PRJNA283145 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2010450.fastq.gz | Fastqsanger.gz | |||
| SRR2010460.fastq.gz | Fastqsanger.gz | |||
| SRR2010470.fastq.gz | Fastqsanger.gz | |||
| SRR2010451.fastq.gz | Fastqsanger.gz | |||
| SRR2010461.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Parasitism is a major ecological niche for a variety of nematodes. Multiple nematode lineages have specialized as pathogens, including deadly parasites of insects that are used in biological control. We have sequenced and analyzed the draft genomes and transcriptomes of the entomopathogenic nematode Steinernema carpocapsae and four congeners (S. scapterisci, S. monticolum, S. feltiae, and S. glaseri). We used these genomes to establish phylogenetic relationships, explore gene conservation across species, and identify genes uniquely expanded in insect parasites. Protein domain analysis in Steinernema revealed a striking expansion of numerous putative parasitism genes, including certain protease and protease inhibitor families, as well as fatty acid- and retinol-binding proteins. Stage-specific gene expression of some of these expanded families further supports the notion that they are involved in insect parasitism by Steinernema. We show that sets of novel conserved non-coding regulatory motifs are associated with orthologous genes in Steinernema and Caenorhabditis. We have identified a set of expanded gene families that are likely to be involved in parasitism. We have also identified a set of non-coding motifs associated with groups of orthologous genes in Steinernema and Caenorhabditis involved in neurogenesis and embryonic development that are likely part of conserved protein–DNA relationships shared between these two genera.
2015-06-05 | GSE68588 | GEO
Project description:Parasitism is a major ecological niche for a variety of nematodes. Multiple nematode lineages have specialized as pathogens, including deadly parasites of insects that are used in biological control. We have sequenced and analyzed the draft genomes and transcriptomes of the entomopathogenic nematode Steinernema carpocapsae and four congeners (S. scapterisci, S. monticolum, S. feltiae, S. glaseri) distantly related to Caenorhabditis elegans. We used these genomes to establish phylogenetic relationships, explore gene conservation across species, identify genes uniquely expanded in insect parasites, and to identify conserved non-coding regulatory motifs that influence similar biological processes. Protein domain analysis of these genomes reveals a striking expansion of numerous putative parasitism genes including certain protease and protease inhibitor families as well as fatty acid- and retinol-binding proteins. We identify rapid evolution and expansion of the important developmental Hox gene cluster and identify novel conserved non-coding regulatory motifs associated with orthologous genes in Steinernema and Caenorhabditis. The deep conservation of the network of non-coding DNA motifs between these two genera for a subset of orthologous genes involved in neurogenesis and embryonic development suggests that a kernel of protein-DNA relationships is conserved through nematode evolution. We analyzed the gene expression of a total of 24 RNA-seq samples from 3 nematode species( S. carpocapsae, S. feltiae, and C. elegans) for comparative analysis. We collected the RNA at four developmental time points (mixed embryo, L1, infective juvenile/dauer, young adult) for each species in replicates.
2015-06-05 | E-GEOD-68588 | biostudies-arrayexpress
Project description:Parasitism is a major ecological niche for a variety of nematodes. Multiple nematode lineages have specialized as pathogens, including deadly parasites of insects that are used in biological control. We have sequenced and analyzed the draft genomes and transcriptomes of the entomopathogenic nematode Steinernema carpocapsae and four congeners (S. scapterisci, S. monticolum, S. feltiae, and S. glaseri).We used these genomes to establish phylogenetic relationships, explore gene conservation across species, and identify genes uniquely expanded in insect parasites. Protein domain analysis in Steinernema revealed a striking expansion of numerous putative parasitism genes, including certain protease and protease inhibitor families, as well as fatty acid- and retinol-binding proteins. Stage-specific gene expression of some of these expanded families further supports the notion that they are involved in insect parasitism by Steinernema. We show that sets of novel conserved non-coding regulatory motifs are associated with orthologous genes in Steinernema and Caenorhabditis.We have identified a set of expanded gene families that are likely to be involved in parasitism. We have also identified a set of non-coding motifs associated with groups of orthologous genes in Steinernema and Caenorhabditis involved in neurogenesis and embryonic development that are likely part of conserved protein-DNA relationships shared between these two genera.
| S-EPMC4578762 | biostudies-literature
Project description:Abstract: Cells express distinct sets of genes in a precise spatio-temporal manner during embryonic development. There is a wealth of information about embryonic development in C. elegans, but much less is known about embryonic development at the molecular level in nematodes from other taxa. We are interested in insect pathogenic nematodes from the genus Steinernema as models of parasitism and symbiosis as well as a satellite model for evolution in comparison to C. elegans. We sequenced the transcriptomes of single embryos of two Steinernema species and two Caenorhabditis species at eleven specific stages during embryonic development for comparative analysis. We found that zygotic transcription initiates at different developmental stages in each species, with the Steinernema species initiating transcription at earlier developmental stages than Caenorhabditis. We found that ortholog expression conservation during development is highest at the later embryonic stages than at the earlier ones. Moreover, we found that the components of the neddylation pathway are highly upregulated during Steinernema early embryonic development contributing further to these early differences seen between the genera at the post-translational level. The surprisingly higher conservation of orthologous gene expression in later embryonic stages strongly suggests a funnel-shaped model of developmental gene expression divergence in nematodes. This work provides novel insight into embryonic development across distantly related nematode species and demonstrates that the mechanisms controlling early development are more diverse than previously thought at both the transcriptional and post-translational level.
2017-09-26 | GSE86381 | GEO
Project description:CORE CONSERVED TRANSCRIPTIONAL REGULATORY NETWORKS DEFINE THE INVASIVE TROPHOBLAST CELL LINEAGE
2023-07-10 | GSE227943 | GEO
Project description:BackgroundComparative genomics methods enable the reconstruction of bacterial regulatory networks using available experimental data. In spite of their potential for accelerating research into the composition and evolution of bacterial regulons, few comparative genomics suites have been developed for the automated analysis of these regulatory systems. Available solutions typically rely on precomputed databases for operon and ortholog predictions, limiting the scope of analyses to processed complete genomes, and several key issues such as the transfer of experimental information or the integration of regulatory information in a probabilistic setting remain largely unaddressed.ResultsHere we introduce CGB, a flexible platform for comparative genomics of prokaryotic regulons. CGB has few external dependencies and enables fully customized analyses of newly available genome data. The platform automates the merging of experimental information and uses a gene-centered, Bayesian framework to generate and integrate easily interpretable results. We demonstrate its flexibility and power by analyzing the evolution of type III secretion system regulation in pathogenic Proteobacteria and by characterizing the SOS regulon of a new bacterial phylum, the Balneolaeota.ConclusionsOur results demonstrate the applicability of the CGB pipeline in multiple settings. CGB's ability to automatically integrate experimental information from multiple sources and use complete and draft genomic data, coupled with its non-reliance on precomputed databases and its easily interpretable display of gene-centered posterior probabilities of regulation provide users with an unprecedented level of flexibility in launching comparative genomics analyses of prokaryotic transcriptional regulatory networks. The analyses of type III secretion and SOS response regulatory networks illustrate instances of convergent and divergent evolution of these regulatory systems, showcasing the power of formal ancestral state reconstruction at inferring the evolutionary history of regulatory networks.
| S-EPMC7739468 | biostudies-literature